Generic Web crawler with a DSL that parses structured data from web pages

Cobweb is a web crawler that can use resque to cluster crawls to quickly crawl extremely large sites which is much more performant than multi-threaded crawlers. It is also a standalone crawler that has a sophisticated statistics monitoring interface to monitor the progress of the crawls.

Voight-Kampff detects bots, spiders, crawlers and replicants

An easy to use distributed web-crawler framework based on Redis

Asynchronous web crawler, scraper and file harvester

Crawl instagram photos, posts and videos for download.

Arachnid is a web crawler that relies on Bloom Filters to efficiently store visited urls and Typhoeus to avoid the overhead of Mechanize when crawling every page on a domain.

CrawlerDetect is a library to detect bots/crawlers via the user agent

Rack Middleware adhering to the Google Ajax Crawling Scheme, using a headless browser to render JS heavy pages and serve a dom snapshot of the rendered state to a requesting search engine.

Post URLs to Wayback Machine (Internet Archive), using a crawler, from Sitemap(s) or a list of URLs.

validate-website is a web crawler for checking the markup validity with XML Schema / DTD and not found urls.

Ruby web crawler using PhantomJS

This is a crawler framework.

render_static allows you to make your single-page apps (Backbone, Angular, etc) built on Rails SEO-friendly. It works by injecting a small rack middleware that will render pages as plain html, when the requester is one of the most common crawlers/bots out there (Google, Yahoo Baidu and Bing)

Website crawler and fulltext indexer.

is_crawler does exactly what you might think it does: determine if the supplied string matches a known crawler or bot.

Driller is a command line Ruby based web crawler based on Anemone. Driller can crawl website and reports error pages and slow pages and generates HTML reports.

A web scrawler to get a Marmiton's recipe

== Medusa: a ruby crawler framework {rdoc-image:https://badge.fury.io/rb/medusa-crawler.svg}[https://rubygems.org/gems/medusa-crawler] rdoc-image:https://github.com/brutuscat/medusa-crawler/workflows/Ruby/badge.svg?event=push Medusa is a framework for the ruby language to crawl and collect useful information about the pages it visits. It is versatile, allowing you to write your own specialized tasks quickly and easily. === Features * Choose the links to follow on each page with +focus_crawl+ * Multi-threaded design for high performance * Tracks +301+ HTTP redirects * Allows exclusion of URLs based on regular expressions * Records response time for each page * Obey _robots.txt_ directives (optional, but recommended) * In-memory or persistent storage of pages during crawl, provided by Moneta[https://github.com/moneta-rb/moneta] * Inherits OpenURI behavior (redirects, automatic charset and encoding detection, proxy configuration options). <b>Do you have an idea or a suggestion? {Open an issue and talk about it}[https://github.com/brutuscat/medusa-crawler/issues/new]</b> === Examples Medusa is versatile and to be used programatically, you can start with one or multiple URIs: require 'medusa' Medusa.crawl('https://www.example.com', depth_limit: 2) Or you can pass a block and it will yield the crawler back, to manage configuration or drive its crawling focus: require 'medusa' Medusa.crawl('https://www.example.com', depth_limit: 2) do |crawler| crawler.discard_page_bodies = some_flag # Persist all the pages state across crawl-runs. crawler.clear_on_startup = false crawler.storage = Medusa::Storage.Moneta(:Redis, 'redis://redis.host.name:6379/0') crawler.skip_links_like(/private/) crawler.on_pages_like(/public/) do |page| logger.debug "[public page] #{page.url} took #{page.response_time} found #{page.links.count}" end # Use an arbitrary logic, page by page, to continue customize the crawling. crawler.focus_crawl(/public/) do |page| page.links.first end end

Ruby Cheerio is a jQuery style HTML parser, which take selectors as input. This is a Ruby version NodeJS package named 'Cheerio', which is extensively used by crawlers. Please visit the home page for usage details.